Azure Cloud & AI Engineer

Job Title: Azure Cloud & AI Engineer

Location: On-site

Employment Type: Full-Time

Experience Level: 3+ Years

Position Overview

We are seeking a highly skilled Azure Cloud & AI Engineer to design, implement, and optimize cloud infrastructure while building and deploying scalable AI/ML models. The ideal candidate will have a strong background in Azure cloud engineering, AI/ML development, and DevOps automation, with a passion for solving real-world business problems using modern technologies.

Core Responsibilities

🌐 Cloud Engineering & Infrastructure

• Design, implement, and maintain secure and scalable cloud environments on Azure.
• Set up and manage virtual machines, databases, storage, and hybrid/multi-cloud solutions.
• Automate infrastructure provisioning with Terraform, ARM templates, Ansible, PowerShell, or Python.
• Implement IAM, encryption, firewalls, and compliance controls (HIPAA, GDPR).
• Monitor and optimize performance, cost, and usage with Azure Monitor, Log Analytics, and Cost Management.

🤖 AI/ML Engineering

• Build and deploy scalable AI/ML models for NLP, computer vision, and Generative AI use cases.
• Preprocess and manage structured/unstructured datasets; develop optimized data pipelines.
• Implement MLOps practices for training, deployment, and monitoring using MLflow, Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP).
• Stay updated with cutting-edge AI frameworks and tools (LangChain, RAG, LLMs).

⚙️ DevOps & Automation

• Integrate CI/CD pipelines for cloud and AI workloads.
• Manage containers and orchestration tools (Docker, Kubernetes).
• Automate deployment, scaling, and system monitoring to ensure high availability.

🤝 Collaboration & Mentorship

• Work closely with cross-functional teams including data scientists, engineers, and product managers to integrate AI solutions into business applications.
• Mentor junior engineers and contribute to knowledge sharing across the team.

Skills & Qualifications

• Strong programming in Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
• Expertise in Azure Cloud services (VMs, Storage, Networking, IAM, Security).
• Hands-on experience with IaC (Terraform, ARM templates, Ansible).
• Deep understanding of AI/ML concepts: supervised/unsupervised learning, deep learning, NLP, GenAI.
• Proficiency with MLOps tools (MLflow, Docker, Kubernetes) and vector databases.
• Knowledge of compliance standards (HIPAA, GDPR) and cloud security best practices.
• Strong problem-solving, communication, and stakeholder engagement skills.

📩 How to Apply

Send your resume and a short cover letter to hr@abottstech.com

Or apply online via: https://www.abottstech.com/careers/

👉 Use the subject line: Azure Cloud & AI Engineer Role